Show HN: 70% → 100% LLM accuracy by changing the representation, not the model

Category: ai-ml

Tags: llm-tooling, representation-learning, reasoning-augmentation

Score: 6.5/10 (Innovation: 7, Technical: 5, Documentation: 8, Utility: 6)

Laeka Rational Brain is a system that improves LLM accuracy on structured reasoning tasks by translating numerical/execution data into spatial matrix representations that LLMs can pattern-match instead of calculate. It's interesting because it demonstrates significant accuracy gains through data representation rather than model improvements, with a modular plugin architecture for different domains like code execution, CSS, and SQL.

Target audience: ai-engineers, prompt-engineers, backend-devs

Repository: https://github.com/yvonboulianne/laeka-rational · Python · NOASSERTION

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